AIMC Topic: Skin Ulcer

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Segmenting skin ulcers and measuring the wound area using deep convolutional networks.

Computer methods and programs in biomedicine Feb 7, 2020
BACKGROUND AND OBJECTIVES: Bedridden patients presenting chronic skin ulcers often need to be examined at home. Healthcare professionals follow the evolution of the patients' condition by regularly taking pictures of the wounds, as different aspects ...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Skin Ulcer
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Systematic review of machine learning for diagnosis and prognosis in dermatology.

The Journal of dermatological treatment Oct 31, 2019
Software systems using artificial intelligence for medical purposes have been developed in recent years. The success of deep neural networks (DNN) in 2012 in the image recognition challenge ImageNet LSVRC 2010 fueled expectations of the potential fo...
Humans Machine Learning Databases, Factual Prognosis Melanoma Skin Neoplasms Skin Diseases Skin Ulcer
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A superpixel-driven deep learning approach for the analysis of dermatological wounds.

Computer methods and programs in biomedicine Sep 13, 2019
BACKGROUND: The image-based identification of distinct tissues within dermatological wounds enhances patients' care since it requires no intrusive evaluations. This manuscript presents an approach, we named QTDU, that combines deep learning models wi...
Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Support Vector Machine Principal Component Analysis Area Under Curve Bayes Theorem Dermatology Pattern Recognition, Automated Skin Ulcer
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